Can someone please explain me how does linear SVMs function in multi dimensional feature space ? I'm not able to picture how a linear SVM can perform classification in more than 2 dimensions. Also, ...

I was curious if anyone has made or seen any videos that dissect the code of statistical algorithms as a means of learning statistics and coding. Ideally the videos would explain step by step both the ...

Suppose you have an end to end process which contains a series of tasks to be completed. You also have process automated at certain tasks but the rest of the tasks are completely manual. Also, these ...

While reading an ML book, I realized that most of the time, the input data points are correlated with each other, and hence their observation is not independent. But then, why do we assume that the ...

I’m working with data from a learning experiment in birds and I have some doubts I hope you can help me clarify. I'm interested in comparing the performance in a learning task between male and female ...

I'm working on a nonlinear multivariate autoregressive model of order 1 (markovian).
It is a discrete-time dynamical system which models exchange of mass between compartments in a compartmental model ...

Hello I would like to know this two things regarding the viability of producting a software,
so:
1) Are available on internet some OCR libraries for free? Can I train my own NN having only a laptop? ...

I am an end-user of a program. This program returns an output based on an input (a file + a database). I have made a few tests with differents files and databases, then constructed a CSV file of the ...

Why has RKHS become such an important concept in machine learning in recent times. Is it because it allows us to represent a function of combination of linear functions?
What areas of mathematic does ...

Say one wishes to train a hidden Markov model with $n$ hidden states, and (accidentally) the problem itself can be described with a hidden Markov model with $n$ (or less states). What is the expected ...

I'm kind of a noob to EFA and am trying to use the FANode object in Python. This is from the MDP library. I am using it on survey data to see which variables are tied together. Whenever I run it on my ...

Difference between parametric and nonparametric statistical tests and What is the difference between distribution free statistics/methods and non-parametric statistics? is a good read for beginners. ...

There are a set of ("artifical") not Minkovski (triangle inequality is not guaranteed) metrics defined on set of objects.
There are one etalon ("natural") metric, which estimation is known only for ...

I am confused with the answers to the questions below
Assume that we have a dataset D with 100 examples, 50 of which belong to the class ’good’
and 50 belong to the class ‘poor’. Assume further that ...

Almost in all texts which are discussing theorems of statistical learning, they assume analyzing arbitrary unknown distribution (the worst case). But in practice different problems (different data) ...

I am trying to answer the following question: "How much (binary) data do I need for my learner to have seen every variable of the dataset at least once?" In my set-up I am feeding my algorithm binary ...

I am working on problems in the field of medical imaging where the need for a simple and interpretable model is important from a clinical perspective. This means that I have to explain the algorithm's ...